Most MCP examples are written in Python or TypeScript. Great for prototypes, but enterprises don't ship prototypes. They ship type-safe, robust, observable, secure services. Exactly what Java excels at.

And, perhaps contrary to popular belief, building MCP servers or clients with Java is not hard at all. It is as natural as creating REST servers and clients. Swap a few dependencies, annotate your methods, and your services speak MCP.

But MCP in Java isn't just about exposing data to LLMs. It can also vastly augment your AI development experience. We'll show how we built an MCP-based agent into the Quarkus framework that exposes live runtime intelligence to your code assistant: structured exceptions, dynamically discovered tools, extension-specific coding patterns, and version-aware documentation search. With this, your agent doesn't just write code; it can also get real-time feedback from the running application, recover from crashes, and learn patterns specific to the frameworks in your project.

Through real-world examples including IoT integrations and Kubernetes analysis agents, we'll show why Java is the natural home for enterprise MCP adoption.